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Managing your research data

The HILDA Survey, initiated in 2001, is a vital household-based panel study in Australia that surveys economic and subjective well-being, labor market and family dynamics. With rich data collected over multiple waves, including hundreds of questions each year, it follows over 19,000 individuals from 7,682 households. Special modules are included each wave, with guaranteed funding for twelve waves. Data releases occur annually in January, with the latest available being from Waves 1 to 6. Discover more about maximizing your research data management effectively.

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Managing your research data

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  1. Managing your research data Tony Beatton, PhD | School of Economics & Finance QUT Business School | Queensland University of Technology | www.qut.edu.au/business Phone: + 61 7 3138 4262 | Fax: +61 7 3138 1500 | Email: t.beatton@qut.edu.au |   Office:  Z838a Gardens Point Campus

  2. The HILDA Data The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a household–based panel study which began in 2001. It has the following key features: • It collects information about economic and subjective well–being, labour market dynamics and family dynamics. • Special questionnaire modules are included each wave. • Hundreds of questions in each wave • Wave 1 panel consisted of 7682 households and 19,914 individuals. • Interviews are conducted annually with all adult members of each household. • Panel members are followed over time. • Funding has been guaranteed for twelve waves. • Data releases usually occur in January. Release 6 of the HILDA data (waves 1 to 6) is now available. Interviews: • Wave 1: 2001 13969 • Wave 2: 2002 13041 • Wave 3: 2003 12728 • Wave 4: 2004 12408 • Wave 5: 2005 12759 • Wave 6: 2006 12905 (95% retention from Wave 5) .................... • Wave 11 due soon http://www.melbourneinstitute.com/hilda/

  3. Other Useful Data Sources • GSOEP • PSID • BHPS • Longitudinal Study of Indigenous Children (LSIC) • LSAY • Analysis of Longitudinal Study of American Youth (LSAY) Data • Add Health Data • Etc.. • Etc...

  4. But how can I learn to use so many databases? • Data Dictionary • Online Data Dictionary • PanelWhiz(Prof. Dr. John P. Haisken-DeNew)

  5. PanelWhiz

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